Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Detalles Bibliográficos
Main Authors: Farzana, Maisha, Any, Md. Jahid Hossain
Outros autores: Parvez, Mohammad Zavid
Formato: Thesis
Idioma:en_US
Publicado: Brac University 2021
Subjects:
Brain Tumor
Semantic Segmentation
MRI
CNN
Pre-processing
Autoencoder
U-Net Architecture
Acceso en liña:http://hdl.handle.net/10361/14459

Internet

http://hdl.handle.net/10361/14459

Títulos similares